A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)

The present paper discusses the development of a mathematical model for predicting the tangential cutting force produced in end-milling operation of medium carbon steel (S45C) using coated TiN insert under dry conditions and full immersion. It is difficult to predict accurately the cutting forces en...

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Main Authors: Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry, Alam, S., Ginta, Turnad Lenggo
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://irep.iium.edu.my/17339/
http://irep.iium.edu.my/17339/
http://irep.iium.edu.my/17339/1/EngFullPaper_Md_Anayet_ICSTIE.pdf
id iium-17339
recordtype eprints
spelling iium-173392012-04-06T08:20:17Z http://irep.iium.edu.my/17339/ A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C) Patwari, Muhammed Anayet Ullah Amin, A. K. M. Nurul Faris, Waleed Fekry Alam, S. Ginta, Turnad Lenggo TJ Mechanical engineering and machinery The present paper discusses the development of a mathematical model for predicting the tangential cutting force produced in end-milling operation of medium carbon steel (S45C) using coated TiN insert under dry conditions and full immersion. It is difficult to predict accurately the cutting forces encountered in end milling operations due to large number of independent variables involved. In this work, an approach was undertaken to develop mathematical model for predicting the average tangential cutting force in end milling of S45C in terms of cutting parameters cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). All the individual cutting parameters affect on cutting force as well as their interaction are also investigated in this study. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The adequacy of the predictive model was verified using ANOVA at 95% confidence level. The developed model shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth of cut and, finally, by the cutting speed. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/17339/1/EngFullPaper_Md_Anayet_ICSTIE.pdf Patwari, Muhammed Anayet Ullah and Amin, A. K. M. Nurul and Faris, Waleed Fekry and Alam, S. and Ginta, Turnad Lenggo (2008) A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C). In: International Conference on Science & Technology: Applications in Industry & Education, 12-13 December 2008, Pulau Pinang, Malaysia. http://www.icstie.com
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
Ginta, Turnad Lenggo
A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
description The present paper discusses the development of a mathematical model for predicting the tangential cutting force produced in end-milling operation of medium carbon steel (S45C) using coated TiN insert under dry conditions and full immersion. It is difficult to predict accurately the cutting forces encountered in end milling operations due to large number of independent variables involved. In this work, an approach was undertaken to develop mathematical model for predicting the average tangential cutting force in end milling of S45C in terms of cutting parameters cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). All the individual cutting parameters affect on cutting force as well as their interaction are also investigated in this study. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The adequacy of the predictive model was verified using ANOVA at 95% confidence level. The developed model shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth of cut and, finally, by the cutting speed.
format Conference or Workshop Item
author Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
Ginta, Turnad Lenggo
author_facet Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Alam, S.
Ginta, Turnad Lenggo
author_sort Patwari, Muhammed Anayet Ullah
title A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
title_short A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
title_full A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
title_fullStr A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
title_full_unstemmed A statistical approach for the prediction of cutting forces in end milling of medium carbon steel (S45C)
title_sort statistical approach for the prediction of cutting forces in end milling of medium carbon steel (s45c)
publishDate 2008
url http://irep.iium.edu.my/17339/
http://irep.iium.edu.my/17339/
http://irep.iium.edu.my/17339/1/EngFullPaper_Md_Anayet_ICSTIE.pdf
first_indexed 2023-09-18T20:26:10Z
last_indexed 2023-09-18T20:26:10Z
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